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Effectiveness of the Patient's Severity Classification Competency Promotion Virtual Reality Program of Nursing Students during the COVID-19 Pandemic Period

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Affiliated Author(s)
이은주
Alternative Author(s)
Lee, Eun Ju
Journal Title
Healthcare (Basel)
ISSN
2227-9032
Issued Date
2023
Keyword
nursing educationnursing studentspatient severity classification competencyvirtual reality
Abstract
The purpose of this study was to develop a virtual reality-based nursing education program aimed at improving nursing students' severity classification competency. Severity classification in the emergency room is key to improving the efficiency of emergency room services worldwide. Prioritizing treatment based on correctly identifying the severity of a disease or an injury also ensures patients' safety. The five actual clinical scenarios in the program helped to promptly classify patients into five clinical situations based on the 2021 Korean Emergency Patient Classification Tool. Seventeen nursing students were in an experimental group that had access to a virtual reality-based simulation combined with clinical practice. Seventeen nursing students were in a control group that only participated in routine clinical practice. The virtual reality-based nursing education program effectively improved students' severity classification competency, performance confidence, and clinical decision-making ability. Although the pandemic continues, the virtual reality-based nursing education program provides realistic indirect experiences to nursing students in situations where clinical nursing practice is not possible. In particular, it will serve as basic data for the expansion and utilization strategy of virtual reality-based nursing education programs to improve nursing capabilities.
Department
Dept. of Nursing (간호학)
Publisher
College of Nursing (간호대학)
Type
Article
ISSN
2227-9032
DOI
10.3390/healthcare11081122
URI
https://kumel.medlib.dsmc.or.kr/handle/2015.oak/44978
Appears in Collections:
2. College of Nursing (간호대학) > Dept. of Nursing (간호학)
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